Summary of Kto: Model Alignment As Prospect Theoretic Optimization, by Kawin Ethayarajh et al.
KTO: Model Alignment as Prospect Theoretic Optimizationby Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff, Dan Jurafsky,…
Summary of Fundamental Properties Of Causal Entropy and Information Gain, by Francisco N. F. Q. Simoes et al.
Fundamental Properties of Causal Entropy and Information Gainby Francisco N. F. Q. Simoes, Mehdi Dastani,…
Summary of Tesseract: Eliminating Experimental Bias in Malware Classification Across Space and Time (extended Version), by Zeliang Kan et al.
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)by Zeliang Kan,…
Summary of Efficient Reinforcement Learning For Routing Jobs in Heterogeneous Queueing Systems, by Neharika Jali et al.
Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systemsby Neharika Jali, Guannan Qu, Weina…
Summary of Limited Memory Online Gradient Descent For Kernelized Pairwise Learning with Dynamic Averaging, by Hilal Alquabeh et al.
Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averagingby Hilal AlQuabeh, William…
Summary of Truncated Non-uniform Quantization For Distributed Sgd, by Guangfeng Yan et al.
Truncated Non-Uniform Quantization for Distributed SGDby Guangfeng Yan, Tan Li, Yuanzhang Xiao, Congduan Li, Linqi…
Summary of Conditional Normalizing Flows For Active Learning Of Coarse-grained Molecular Representations, by Henrik Schopmans et al.
Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representationsby Henrik Schopmans, Pascal FriederichFirst submitted…
Summary of Few-shot Class-incremental Learning with Prior Knowledge, by Wenhao Jiang et al.
Few-Shot Class-Incremental Learning with Prior Knowledgeby Wenhao Jiang, Duo Li, Menghan Hu, Guangtao Zhai, Xiaokang…
Summary of Comparative Evaluation Of Weather Forecasting Using Machine Learning Models, by Md Saydur Rahman et al.
Comparative Evaluation of Weather Forecasting using Machine Learning Modelsby Md Saydur Rahman, Farhana Akter Tumpa,…
Summary of Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training, by Sota Kudo et al.
Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Trainingby Sota Kudo, Naoaki Ono,…